AI Sticky Notes MCP Server

@pi-prakhar

代码仓库

基本信息

分类

记忆与知识

传输方式

stdio

作者

pi-prakhar

关于 AI Sticky Notes MCP Server

暂无概览

#mcp-server #note-taking #ai-assistant

AI Sticky Notes MCP Server 配置

使用下面的配置,将此服务器添加到你的 MCP 客户端。

{
  "mcpServers": {
    "mcp-server-demo-pi-prakhar": {
      "command": "uv",
      "args": [
        "pip",
        "install",
        "-e",
        "."
      ]
    }
  }
}

AI Sticky Notes MCP Server 工具

Append a new note to the notes file

Read and return all notes from the notes file

概览

What is AI Sticky Notes MCP Server?

AI Sticky Notes MCP Server is a lightweight note-taking system built with the Model Context Protocol (MCP) that allows AI assistants to create, read, and summarize notes. It uses FastMCP for easy integration with AI assistants like Claude Desktop or Cursor IDE.

How to use AI Sticky Notes MCP Server?

Clone the repository, install dependencies with uv pip install -e ., and run the server with uv run mcp dev main.py for development. To integrate with Claude Desktop, run uv run mcp install main.py and configure the claude_desktop_config.json. For Cursor IDE, add a new MCP server in settings with stdio transport and the command uv run --with mcp[cli] mcp run /full/path/to/your/main.py.

Key features of AI Sticky Notes MCP Server

add_note tool to append new notes
read_notes tool to return all stored notes
notes://latest resource to retrieve the most recent note
note_summary_prompt to generate AI summaries of notes
Built with FastMCP for easy AI assistant integration

Use cases of AI Sticky Notes MCP Server

Adding reminders via natural language (e.g., "Add a reminder to buy groceries")
Reading all existing notes to review tasks or ideas
Retrieving the latest note quickly
Generating a summary of stored notes through AI

常见问题

What are the prerequisites for AI Sticky Notes MCP Server?

Python 3.8+, the `uv` package manager, and optionally Claude Desktop or Cursor IDE.

How do I install dependencies for AI Sticky Notes MCP Server?

Run `uv pip install -e .` in the cloned repository directory.

Where are notes stored?

Notes are stored in a `notes.txt` file in the project directory. The path can be customized by modifying `NOTES_FILE` in `main.py`.

Why is the `notes://latest` resource not available in Cursor?

Cursor only supports MCP tools, not resources. Therefore the `notes://latest` resource will not work in Cursor; only tools `add_note` and `read_notes` are available there.

How can I debug AI Sticky Notes MCP Server?

Use `uv run mcp dev main.py` to run the server in development mode, which provides helpful debugging information for stdio-based MCP servers.

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